We're proud to announce that a new relational database metadata collector is now available for enterprise customer use -- SAP SQL Anywhere (formerly known as Sybase SQL Anywhere), versions 16 & 17.
We're proud to announce that a new relational database metadata collector is now available for enterprise customer use -- SAP SQL Anywhere (formerly known as Sybase SQL Anywhere), versions 16 & 17.
Have you ever need to create a 7-day trailing average in order to smooth out a graph? How about compare a value to the same value in the previous row?
Windowed aggregations are a powerful way to perform complex analysis, such as this, without leaving the comfort of the SQL. These functions operate on a defined group, or "window", of rows to return an aggregated value for each row. Window aggregations are supported for both uploaded tabular data, as well as live tables (where support exists in the connected database).
Note: this feature is currently in Beta. Please contact support with any issues.
Today we released a new filter group for the search page. Customers are using collections to group and organize the items within their catalog. Users can now filter their search results based on the catalog collection an item belongs to.
This feature is visible to enterprise customers.
Head over to our api documentation to learn more about the new API endpoints we've added in support of collection management.
You can now create and manage collections from the public API to help build automation pipelines and integrations around your enterprise data catalog.
Our interactive docs allow you to test requests right from the browser.
Find what you are looking for from anywhere in the application.
Look for new resource types added to the autosuggest feature of the main search bar! Queries and metadata resources, such as glossary terms and analysis records, have been added to the top level search bar. You can now search for these resources from any page with the search bar header. This feature previously supported dataset, project, and user search. This feature is live for community and enterprise users.
Here is a roundup of some of the key features we released last month, December 2020 -- collection crowdsourced suggestions, new metadata and search API endpoints, and a recap on search improvements.
Look for this new feature in upcoming data.world releases!
Here's a sneak peek of what to expect:
We are updating the way we present contributors and visibility for datasets and projects. Currently, we have a top level Access tab that controls individual access, and a Visibility section in the Settings tab that controls whether the dataset/project is open, private, or discoverable to the community. To minimize confusion and complexity, we are combining and redesigning these settings into a single pane of glass to simplify understanding and control of “who can see this resource."
This is how the experience will look from a data consumer's perspective:
This is now the experience will look from an admin's perspective:
Relevant data partners now appear at the top of some search results as featured results, making it easier to find high-quality, reliable datasets in search. Featured results are disabled for private installs.
If you’re interested in learning more about how we help teams find the right data vendors for their projects, drop us a line at concierge@data.world.
Look for this new feature in upcoming data.world releases!
Here's a sneak peek of what to expect:
You'll soon see a new banner above your search results highlighting the number of matched column results for your query. You can navigate to your column results either by clicking the banner or using the result type dropdown below the search bar.
Column search surfaces tables within datasets or projects that contain matched columns, and individual column records defined in your metadata catalog. This feature will be available for data.world enterprise and community users.
We recently added search as a feature of our public API.
These new endpoints support searching for datasets, projects, insights, queries, tables, collections, files, glossary terms, and analysis resources.
We offer two options:
